Senior Data Analyst (AWS Data & Analytics)

Key Responsibilities

Business Analysis & Stakeholder Management
- Elicit, analyze, document, and validate business requirements from stakeholders.
- Translate business requirements into functional specifications, data requirements, user stories, and acceptance criteria.
- Facilitate workshops, requirement-gathering sessions, and stakeholder interviews.
- Perform impact assessments and gap analyses for recent initiatives and system enhancements.
- Serve as a liaison between business users, data engineering teams, and technology teams.

Data Analytics & Reporting
- Analyze large datasets to identify trends, opportunities, risks, and business insights.
- Develop dashboards, reports, KPIs, and self-service analytics solutions.
- Perform ad hoc analysis to support strategic and operational decision-making.
- Create data models and business metrics aligned with organizational objectives.
- Ensure data quality, consistency, and governance standards are maintained.

AWS Data Platform & Data Backbone




- Work closely with data engineering teams supporting AWS-based data platforms.
- Analyze and understand data flows across ingestion, transformation, storage, and reporting layers.
- Contribute to data architecture discussions and recommend improvements to data pipelines.
- Support data lineage, metadata management, and data governance initiatives.
- Participate in cloud-based analytics and modernization projects.

Solution Design & Delivery
- Collaborate with engineering teams to design scalable data solutions.
- Validate delivered solutions against business requirements.
- Support UAT planning, execution, and defect management.
- Assist in prioritization and roadmap planning for analytics initiatives.
- Drive continuous improvement in reporting and data management processes.

Required Qualifications

Experience
- 5-10+ years of experience in:
- Data Analytics
- Business Systems Analysis
- Business Intelligence
- Data Warehousing
- Prov

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